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Biography and Research Information
OverviewAI-generated summary
Shaymaa Al‐Shukri's research focuses on the intersection of data management, natural language processing, and health sciences. She has contributed to projects involving the annotation of clinical discharge summary notes for named entity recognition and the development of taxonomies for colonoscopy evaluations. Al‐Shukri has also worked on linking diverse biomedical databases, such as The Cancer Imaging Archive and GenBank, to the National Clinical Cohort Collaborative. Her work addresses challenges in data quality within centralized and federated systems, particularly in the context of large-scale health data initiatives like the National COVID Cohort Collaborative. Al‐Shukri's scholarship metrics include an h-index of 5, with 9 total publications and 174 citations. She has collaborated with researchers from the University of Arkansas for Medical Sciences and Arkansas State University.
Metrics
- h-index: 5
- Publications: 9
- Citations: 176
Selected Publications
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Linking <i>The Cancer Imaging Archive</i> and <scp>GenBank</scp> to the <scp>National Clinical Cohort Collaborative</scp> (2024)
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TAX-Corpus: Taxonomy based Annotations for Colonoscopy Evaluation (2022)
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DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool (2021)
Collaboration Network
Top Collaborators
Fred Prior
University of Arkansas for Medical Sciences
3 shared publications
In database
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
- TAX-Corpus: Taxonomy based Annotations for Colonoscopy Evaluation
- Linking <i>The Cancer Imaging Archive</i> and <scp>GenBank</scp> to the <scp>National Clinical Cohort Collaborative</scp>
Mahanazuddin Syed
University of Arkansas for Medical Sciences (US)
2 shared publications
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
- TAX-Corpus: Taxonomy based Annotations for Colonoscopy Evaluation
Shorabuddin Syed
University of Arkansas for Medical Sciences (US)
2 shared publications
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
- TAX-Corpus: Taxonomy based Annotations for Colonoscopy Evaluation
Melody Greer
University of Arkansas for Medical Sciences (US)
2 shared publications
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
- TAX-Corpus: Taxonomy based Annotations for Colonoscopy Evaluation
Meredith Zozus
The University of Texas Health Science Center at San Antonio (US)
2 shared publications
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
- TAX-Corpus: Taxonomy based Annotations for Colonoscopy Evaluation
Sudeepa Bhattacharyya
Arkansas State University
2 shared publications
In database
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
- TAX-Corpus: Taxonomy based Annotations for Colonoscopy Evaluation
Christopher G. Chute
Johns Hopkins University (US)
2 shared publications
- Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative
- Linking <i>The Cancer Imaging Archive</i> and <scp>GenBank</scp> to the <scp>National Clinical Cohort Collaborative</scp>
Kevin W. Sexton
University of Arkansas for Medical Sciences
1 shared publication
In database
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
Emily Pfaff
University of North Carolina at Chapel Hill (US)
1 shared publication
- Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative
Andrew T. Girvin
1 shared publication
- Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative
Davera Gabriel
Johns Hopkins Medicine (US)
1 shared publication
- Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative
Kristin Kostka
Northeastern University (US)
1 shared publication
- Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative
Michele Morris
University of Pittsburgh (US)
1 shared publication
- Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative
Matvey B. Palchuk
TriNetX (United States) (US)
1 shared publication
- Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative
Harold P. Lehmann
Johns Hopkins Medicine (US)
1 shared publication
- Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative
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